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Pythonist view on Microservices & Containerization

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hello everybody out of our and shake among the IMO full stepped self-training in by heart uh works as a solution consistent at InfoChip's I mostly of while controlling global solutions and I was so low on the IBP state farms and also of the developed part of it in my previous organization or soul bit of bacon as a service platform of the building of a pipeline jungle generous from book so the the topic for today is I'll be presenting my views on my customers and containerization but I know that there's been a lot of talks on uses so I have changed my place that laser debate so that we wanted to know my is better any going few areas from the of of you guys are covering the of of how of organization and apps users and things like that so let's begin so let's of define what is microphone uses of Michael is in of architecture saying I would say that the inability of and its application as a sort of small services of a which and communication with each other without a lightweight protocol our that and on its own processes they and he said this communication with each other of to IPC mechanism of the that you can use any of of a DP and I'm in communication vertical lake http at the CU and QP on of our WebSocket and things like that to communicate of between processes Oracle services so when it
was explored their manifest that I what the makers of this is is I was a little bit confused now about like how it is different from that of service oriented architecture and I had the same expression so 0 well so defining up by
differentiating between the 2 I realized that 0 migrants architecture of his us specialization of service of oriented architecture so micro-services speaks on good parts of a service-oriented architecture and and is implemented but in a different way so you can see us like micro-services circle coming out slightly so that is a sort of of difference in approach in implementing of migrants so as dumb Michael suggests it is significantly smaller a as compared to rules service-oriented architecture with so this is not very well or at a really large scale so if you compare our tools services from like a sewing and Michael services like in my consider sissy services are significantly smaller of they use like we propose to communicate with each other so in service-oriented architecture of I think you guys must have seen that there is some kind of a model that we use our To communicate between the services so that may it goes down are yet and that application was non so that is not the case in case of Michael micro-services of alchemy gates at that come in megacities in services communication with each other or and by defining their own protocols and they from the point up 1 of soul up
with that definition of micro so users I've listed the characteristics of low what micro-services should have so if you look at it 1 by 1 so it has to be minimal our so micro-services so each micro-services should adapt to a single responsibility of single-function responsiblity pattern so let's see if you are writing an e-commerce website and if there's a premium service so that said we should only be dealing with our so that the main part of this and should visual that's a research tool not know the underlying implementation help this process and things like that so if 1 so it's easy way to communicate with other services and it is able to a lot of dead the response of this will be In the 2nd part is independently level soul as a unit of a more distributed systems over here so needs a new just services has to be independently deep level all on global instances soul up and not only that I mean our so young you when the deployment strategy has to be independent from each other when we our our talk about our services there is so let's see if you're writing over topics of similar then maybe you have to what 2 was the best you can choose best deployment study for that particular service and may be as simple as our traditional optimizations and then you can maybe go ahead and watching the deployment strategy for their so our deployment strategy can differ from our 1 service to another the part bodies scan the table so all of the yes of course it has to be configured because micro-services of autonomous so we should be able to plot it should be able to set a goal in itself and are you have to use our environment Reba's places demands or maybe some sort of a service discovery only E-value stalled of so that you can read the parameters dynamically and your set respects according to the 4th byte is replaceable portions so our on whenever we die possibly as we sometimes the is problems legacy services not our and acting properly in terms of of fulfilling the non-functional requirements all our reading of writing that we so what again maybe in using some different or better architecture so by your should be a kind of a plug-and-play nature so that means that if at all you are deploying new was you know fearsome is but it should be completely miserable and your system should what our some on the 5th part is how it should be organized on business capabilities so I think we have already coloured is because each cell functionality other of your business you should know about the services should focus on the on implementing our those business capabilities of from the next part smart and points so as to make the services gives us a lot of flexibility of being done soft using not will propose an Howell by 1 service communication to another soul or but is good that reduce but at the best of our protocol and redefined best endpoint so that service can communicate to each other and really effectively so it's not like if it should always use of our a TDB so and we should only used like PCB or say a thing like that but you lose your protocol lazy up so that you get the best performance on the next flight is less the city of Lhasa City and unsolved scaling so let's see if you're facing the of a lot of if you're getting a lot of traffic on there so so of your services find your investiture should be able to scale up and down based on of the necessity of the next point is the resilience so so I think about my so as our needs to be out that there is the Indian themselves lake so if this up down there were orbiting the service it should not affect the other functionalities of your application on the next bodies of course being is really developing our our services in and really pretty whistle are you should know when to feed off of that up you know that my main cities and development cycle according to the wedding so it should be able to I that I got this power point so infrastructure emission of yes so might as makers services will be dealing with but as we have come to that in a distributed system of and it has to be monitored all so whenever there is a high our traffic so it should be able to scale up and also your infrastructure you have to decide infrastructure in such a way that it should not allow are automatically scaling up and understand the but
nothing that you're facing some delays logging and monitoring I've seen people taking this part is enough that part but they generally don't care about this portions and let logging and monitoring and they end up facing a lot of issues of when they see don't nobody listens because they're not be able to offer and figure out what's what's happening on so you should have a scintillate borderland of a king or something where you can look for the yard logs and our monitoring an point and the monitoring stuff and things like that the next slide is encapsulation of your are so we should cover all the so what should have all the companies that required to learn that this effectively sold should not be at this late hour if let's say 1 service request society the missile our should have all the components on the other are near to the service so that they can come up properly generative effectively and of course it has to be students so let's we our will to what the advantages often make services for liminality our architecture so the first one is Michael services delays on each of the public API so I've seen a couple of things that are in service-oriented architecture of most of the them the price that communicate with our the the database of the service and things like that so that should not be the peace and and some like this and this is as of we are going to independent given to deploy also uses independently so it has to communicate with that our or that is that you went on the on the 2nd part is decentralization and no single point of failure so we have already discussed that in service oriented architecture the concept of middleware which of course is which 1 is unseen between so that customers can properly the effectively so it that we it goes down so that becomes a single point of failure in terms of a service-oriented architecture so our in my considers as it is not the case it is everything is the same delays and he serviced operator that our without best effectively I'm not part what is like tool for the right job of so we get rid megacities as we get out of the freedom of choosing of the technologies that are on technology and what I would see a language of the best language you can but right your services in can I have a 1 services and by town or another another in or years and things like that so you you get a free domain you get a flexibility of choosing like of for that right job or the next thing is sporting or persistence time and so on so this is kind of late if let's say 1 services requires RDBMS you can blow up and use in the sequel database and let's say that this is dealing with a reflexive 1 example time data so maybe you can then think also of choosing the database accordingly and maybe you can go with noise as well the w's and our database of that sort of single responsibility as we already discussed it should be focused more on our 1 aspect of the of the business the requirement mn 1 on 1 aspect of it the scalability but our yes so of art the service should be there looking away and so on so that we can scale it up and release for the so even if let's say you have a breeding it so we should be able to able some users smoothly and things like that of the next 1 is the of so microcytosis should in the component in the Microsoft Research should be the couple and high because of our so you should never be micro-services in a way so that no can be coupled all the components that are there in the of the services and let them talk to each other based on the requirement of the next slide is bonded context it's OK for like it's so 1 services do not know the underlying implementation of the the soul of so that is what I wanted context means so the next 1 is more cost i'd like and when ownership so we don't always offer development life cycle seen that project start of requirement analysis and then it most were design and and development and sooner or later it goes to support and maintenance so that it is not the the this light difference here are 1 being almost the entire service velopment bicycle would here and they completely on it all independent going as it's as well so so that they can not because simple megacities services has to be autonomous so I should have all the components that can help us our that go on wanting metrics and things like that this so let's move on to
our of how can you write microservices and by console when I heard about it I just knew where you don't have the same like this so what is the best thing look could make use of
using light so the 1st thing that I get is about the Michael of would say that it is a Python thing before Billy Michael services so a lot not going to the documentation of it I have listed on here are some of those
the of features that and it supports of installer Michael it's simple to install a metal and the supported protocols that which 1 service can communicate with the to select support these many I can go out and use simple STDP and get and cost of you can do communication of P and QB you can do lots of WebSocket and also avoid the talk at support so that other features as well and so it has a support for unit testing and I guess integration testing is well so this is already the generates Fremont s for a this was micro-services is concerned so I think this is good but as we all know that microservices it has to be the idea to be small we have already seen the minimum point of it so that it's not of constraint that you have to use all if all of these you this framework of so that's a yes and this is our on it only requires ST-DBN point and things like that you can avoid use last so that is the kind of freedom that we get our inability of micro-services so we can use last class and let's say if you are dealing with a single eye you can maybe again use Django Genoese or arsenic any ideas that will talk about it on a microscope and you right and so in Georgia frameworks based on the Uruguay men so let's see how awesome
Uzbekistan the lots of deployment plays a crucial part of when migrants and users spend about what Michael services so all these other
options that I've listed in this first one is traditional but how we use to rule in the monolithic you still are create a script that will come up as a school of problem what machine and Jakarta like gold and then the the value of that that's a good aspect but this that becomes really difficult when we talk about so odd part discrete environment because of our users has 2 of them in this so we are left with the the 2 options like modulation in combination with the location of the template and use modulation but it becomes are quite well the because it was part of the and that was so that it goes against ways of learning and I worked on your VM boxes so it becomes quite well the so the next thing is spending radiation which is which uses external
capabilities are not docket and and has this depending on execution environment which that people to LinuxCon got no component so you can know of word and used up so that they may save become a aware a small and 0 and completely out of it becomes most likely then hypervisor vehement things like that 1st sold off so I'll put
this question for you guys like if GOP avoids the isolation so we you really need what should in the so I mean of reloaded what what you the inverse fourier life good sort of isolation when we talked about by and England but here we are dealing with Doppler switch the lights that went up at this so it's OK but if you go the use of what you see in the uh it's not mandatory but I guess it's there's no additional text inward as well so you can go out and use virtually sites of you based on where they want to use it or not so let's move on to Hoboken interlaced by can be solicited local so the 1st steps so this a symbol flask
at which also on the world it really just again this single blazing from a get and then start of past on although IP addresses on local instances so these are the steps have
listed on the all all those are strips or here so you have to just read your doctor failure pool of policy on the commands were there and of once that is done you can build your local image with Dr. become 1 and then you can find out about the container using Doppler and with the help of Dr. the 2nd you have you want to see on the part adopted and another type of I a running on on a particular machine so let's talk a
little bit about what I hope that we deal with the continuous integration and continues deployment architecture of our approach in Michael courses and condemnation so this is where the speckle Jenkins but I guess you can also use of get let's yet another essentially consume sport made this the diesel coerced Jenkins part of it so let's have another look pushes on any change to the gate reportedly with the help of level of Jenkins triggered submitted so Jenkins uses Doppler to build an image based on Doppler fight so once the the container is up and running you can maybe on all the test cases of and if less if this if all that is his is passed and you can push the article image to the docket history and you can inform although of instances that are part of our learning that made the with the letters was in effect so the next
ladies about late rent use micro-services so I would say I don't goal and I would not flow late every big the big companies are using Microsoft so just don't tools your our architecture and just by the latest i r i did it just I recommend and technology of so on I would say if the scintillation is identified and already inception of the project so maybe you can think of a writing microservices and or maybe like you are doing that we can see the intensive operation like if you married in image processing and video encoding or decoding and machine learning and maybe artificial intelligence so of it that is it might be helpful because you might and I really need to scale up those portions of the heavy intensity of cooperation portion in future when never know if it's a lot of traffic so I think that is of EDA can maybe think of when I can choose to believe up right but using your architecture as a micro-services architecture
right so I have a lot of it most of the dialog was why using micro-services how big a the other common mistakes there you are when was micro-services dead liking ancillary generally out but with the W. directly so they use a shared database kinds stewed off talking to public EPA to go ahead and of our our ideally are Abdul the queries to the database so all of this is the 1 mistake that I've seen that the bulge and you are the 2nd thing is they consider http is not only protocol communicate between services well that is not the fact of doll is TDB services is simpler and it's easy people get us the services of print lines but that doesn't mean that we should only only bullheaded of STDP are maybe a few users are meant to be together so you don't need all over the world on the and wasted because you can just go again directly Our Germany get rid of some sort of a TCP connection and things like that of the part 1 is the but also all end up liking their on service discovery so on this is in fact I've seen in our lake of people like Michael services for service discovery so don't do that other out of the pool send acknowledges that a much advanced when we talk about so you disco you can award and use those tools that we don't even believe of forcing is that it's not acquired so just no 1 will we know our talks and that all the become are using Microsoft is it that there there's going and if you abuse micro-services of the next point is logging and monitoring has enough the part of what it is because of the by the gender lead date is an afterthought and they end up up up facing a lot of that was when you have to identify on the issues and you have all let's see what see what our our wanting statistics and metrics and things like that of 1 technology in Fremont area of they end up choosing of 1 language and 1 framework 1 putting before writing all the services so they can do that I think that our who can't use our language that's all that is best suited well for writing your that buttermaker services so I've seen people a specific especially in job I use being for writing all this data service half of world STDP services so don't do that might books of it but you and I license really do have gotten by so especially in case of del I've seen people use of 1 key frameworks and this year that it's micro-services sort the next is part of using services so these are some of the details of that I have identified their operations and was cost of that is in water so you may end up with are dealing with a lot of tools and the initial phase of the project so that a lot of cost and board and is the 2nd 1 is going to cost you might be your team on your organization might not adapt micro-services really are smoothly soluble I maybe convinced them so there's a lot of collagen cost more than that because marginally what happens in an organization is there is 1 game for the entire product but here will be a all no real getting different in 4 different event services so this is sort of a cultural shift of our in that part this duet system omplexity he outsourced micro-services is all about restrict system so it has all the complexity of red like what we have a in distributed systems interfaces should be well defined the sole documentation is must so let's see if I'm working on an of let's say they're working on an e-commerce at site and I'm dealing with out of the main service so I should know how I should tell us what parameters and my expecting and the things like that really really good other team so that you know they can of communicated our accordingly and now I got transaction becomes much more of the next flight is micro-services that 1st like it shows that so yes our as it is as 1 of the characteristic of mega cities is it it has to be independently deep level so high I think of the day what of porpoises is required from or what dog eating the very 1st day of when these are start approaching the architect in coast of services we and that that thing is of deemed communication overhead is that of course so you have you might be communicating a lot of across the beam about how are you going to communicate and things that the 2 that's why I said that the documentation is must so that you can do audio communication effectively and things like that so so yes thank you if
I think the article is this thing talk about questions thank you yeah the thanks to the the it has a lot of the most of the notion of the institution like when is problem even if the relation between the various the problem that yeah so of all what people do is let's say for whose services wants to share particularly database so all of our of what they're doing is directly are there for a flattened out ready to the database and get diseases so I think that is not affected when we about scalability because the of this I might not end up becoming the root cause when thinking of scalability because the DigiBarn on my customers instances but the database really mean 1 so in that perspective it's good not only don't of make database called directly of use PA so that you are a small of any uh when you talk about scalability and things like that so that is what but the this the so in case so you say uses the I like the of servers connected to other the yes yes yes yes so is not more of the same but so with it you can have a lower billions in front of it and I attended a clue about what it was in this instance it can and then you can scale that it covers independently but in case of shared database you might not be able to move that really more so that is a point in text the but what was yeah and thank you so use like little online you quite detailed answers to become lighter pressed for immediate unusally slides that long online so I would I put it on my get out of maybe here so that you can look at and a if you know what to look the other 2 didn't work for a few
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Titel Pythonist view on Microservices & Containerization
Serientitel EuroPython 2017
Autor Sharma, Abhishek
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben
DOI 10.5446/33818
Herausgeber EuroPython
Erscheinungsjahr 2017
Sprache Englisch

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Fachgebiet Informatik
Abstract Pythonist view on Microservices & Containerization [EuroPython 2017 - Talk - 2017-07-14 - Arengo] [Rimini, Italy] Microservices architecture and containerization are words thrown around when we talk about designing systems that are loosely coupled, although it may sound like buzz words but these key concepts play a very important part in system as a whole. In this talk, we will cover how microservices can be implemented in python using available open source frameworks and how it can be deployed independently to scale and perform in production environment. I'll also share several use-cases where it is worth planning and developing system architecture considering microservices/containerization and will also discuss some trade-off of having such architecture. Outline: Overview of microservices Implementing microservices using Python Advantages of microservices over Monolithic / SoA architecture Overview of containerization How to containerize Python based services (Docker) Advantages of microservices/containerization over traditional deployment CI/CD Approach in microservices and containerization Usecases where to use microservices Trade-off of using microservice

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